Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment BM Eskofier, SI Lee, JF Daneault, FN Golabchi, G Ferreira-Carvalho, ... 2016 38th annual international conference of the IEEE engineering in …, 2016 | 187 | 2016 |
Sensor-based gait parameter extraction with deep convolutional neural networks J Hannink, T Kautz, CF Pasluosta, KG Gaßmann, J Klucken, BM Eskofier IEEE journal of biomedical and health informatics 21 (1), 85-93, 2016 | 186 | 2016 |
Activity recognition in beach volleyball using a Deep Convolutional Neural Network: Leveraging the potential of Deep Learning in sports T Kautz, BH Groh, J Hannink, U Jensen, H Strubberg, BM Eskofier Data Mining and Knowledge Discovery 31, 1678-1705, 2017 | 182 | 2017 |
Mobile stride length estimation with deep convolutional neural networks J Hannink, T Kautz, CF Pasluosta, J Barth, S Schülein, KG Gaßmann, ... IEEE journal of biomedical and health informatics 22 (2), 354-362, 2017 | 136 | 2017 |
Generic performance measure for multiclass-classifiers T Kautz, BM Eskofier, CF Pasluosta Pattern Recognition 68, 111-125, 2017 | 82 | 2017 |
Using wearable sensors for semiology-independent seizure detection-towards ambulatory monitoring of epilepsy BE Heldberg, T Kautz, H Leutheuser, R Hopfengärtner, BS Kasper, ... 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 46 | 2015 |
IMU-based trick classification in skateboarding BH Groh, T Kautz, D Schuldhaus, BM Eskofier KDD workshop on large-scale sports analytics 17, 2015 | 41 | 2015 |
Classification and visualization of skateboard tricks using wearable sensors BH Groh, M Fleckenstein, T Kautz, BM Eskofier Pervasive and Mobile Computing 40, 42-55, 2017 | 37 | 2017 |
Ball impact localization on table tennis rackets using piezo-electric sensors P Blank, T Kautz, BM Eskofier Proceedings of the 2016 ACM International Symposium on Wearable Computers, 72-79, 2016 | 31 | 2016 |
Automated ski velocity and jump length determination in ski jumping based on unobtrusive and wearable sensors BH Groh, F Warschun, M Deininger, T Kautz, C Martindale, BM Eskofier proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2017 | 21 | 2017 |
Stride length estimation with deep learning J Hannink, T Kautz, CF Pasluosta, J Barth, S Schülein, KG Gaßmann, ... arXiv preprint arXiv:1609.03321, 2016 | 21 | 2016 |
Enhancement of speed and accuracy trade-off for sports ball detection in videos—finding fast moving, small objects in real time A Hiemann, T Kautz, T Zottmann, M Hlawitschka Sensors 21 (9), 3214, 2021 | 20 | 2021 |
Sensor fusion for multi-player activity recognition in game sports T Kautz, BH Groh, BM Eskofier Workshop on Large-Scale Sports Analytics, 21st ACM SIGKDD Conference on …, 2015 | 20 | 2015 |
A robust Kalman framework with resampling and optimal smoothing T Kautz, BM Eskofier sensors 15 (3), 4975-4995, 2015 | 18 | 2015 |
Wearable real-time skateboard trick visualization and its community perception BH Groh, J Flaschka, M Wirth, T Kautz, M Fleckenstein, BM Eskofier IEEE computer graphics and applications 36 (5), 12-18, 2016 | 15 | 2016 |
Acquisition, filtering and analysis of positional and inertial data in sports T Kautz FAU University Press, 2017 | 6 | 2017 |
Augmented motion models for constrained position tracking with Kalman filters T Kautz, BH Groh, BM Eskofier 2016 19th International Conference on Information Fusion (FUSION), 849-854, 2016 | 3 | 2016 |
Neuronal cell spike sorting using signal features extracted by PARAFAC T Just, T Kautz, M Weis, A Williamson, P Husar 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER), 472-475, 2013 | 3 | 2013 |
Method for calibrating a local positioning system based on time-difference-of-arrival measurements T Kautz, S Scholz, B Eskofier US Patent 10,852,386, 2020 | 2 | 2020 |
Method for calculating a position of an object of interest T Kautz, S Scholz, B Eskofier US Patent 10,698,071, 2020 | 2 | 2020 |